Research Article
Accelerating Relevance-Vector-Machine-Based Classification of Hyperspectral Image with Parallel Computing
Table 1
Number of samples in training and test sets.
| Class | Name | Training | Test | Total |
| C1 | Corn-notill | 632 | 633 | 1265 | C2 | Corn-min | 364 | 364 | 728 | C3 | Grass/Pasture | 224 | 225 | 449 | C4 | Grass/Trees | 335 | 336 | 671 | C5 | Hay-windrowed | 228 | 228 | 456 | C6 | Soybeans-notill | 425 | 424 | 849 | C7 | Soybeans-min | 1133 | 1135 | 2268 | C8 | Soybeans-clean | 289 | 288 | 577 | C9 | Woods | 614 | 612 | 1226 |
| | Total | 4244 | 4245 | 8489 |
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